The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
OctoMap: an efficient probabilistic 3D mapping framework based on octrees
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Citations
Cites
A frontier-based approach for autonomous exploration
Yamauchi, B. (2002) · Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation' · doi:10.1109/cira.1997.613851 · Cited by 1,695
Adaptive relative bundle adjustment
Sibley, G., Mei, C., Reid, I., & Newman, P. (2009) · Robotics: Science and Systems V · doi:10.15607/rss.2009.v.023 · Cited by 139 · cited 2×
“For this dataset, an optimized estimate of the robot’s trajectory generated by visual odometry was used (Sibley et al., 2009).”
Method
Cited by
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
Yu, C., Liu, Z., Liu, X.-J., Xie, F., Yang, Y., Wei, Q., & Fei, Q. (2018) · 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2018.8593691 · Cited by 1,154
RotorS—A Modular Gazebo MAV Simulator Framework
Furrer, F., Burri, M., Achtelik, M., & Siegwart, R. (2016) · Studies in Computational Intelligence · doi:10.1007/978-3-319-26054-9_23 · Cited by 592
Liu, S., Watterson, M., Mohta, K., Sun, K., Bhattacharya, S., Taylor, C. J., & Kumar, V. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2017.2663526 · Cited by 555
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
Roberts, M., Ramapuram, J., Ranjan, A., Kumar, A., Bautista, M. A., Paczan, N., Webb, R., & Susskind, J. M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01073 · Cited by 358
Trajectory Planning for Quadrotor Swarms
Honig, W., Preiss, J. A., Kumar, T. K. S., Sukhatme, G. S., & Ayanian, N. (2018) · IEEE Transactions on Robotics · doi:10.1109/tro.2018.2853613 · Cited by 315
Metadata
- Authors
- Hornung, A., Wurm, K. M., Bennewitz, M., Stachniss, C., & Burgard, W.
- Venue
- Autonomous Robots
- Published
- 2013-02-07
- Volume
- 34
- Issue
- 3
- Pages
- 189-206
- ISSN
- 0929-5593 (ISSN-L)
- 1573-7527
- OpenAlex
- W2133844819
- Cited by
- 2,866
- References
- 2
- FWCI
- 195.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: OctoMap: an efficient probabilistic 3D mapping framework based on octrees. https://app.cochat.ai/papers/10.1007/s10514-012-9321-0
- The paper
- Hornung, A., Wurm, K. M., Bennewitz, M., Stachniss, C., & Burgard, W. (2013). OctoMap: an efficient probabilistic 3D mapping framework based on octrees. Autonomous Robots. https://doi.org/10.1007/s10514-012-9321-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
